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Methodnex

Statistical Analysis

Correct analysis, documented step by step, with results you can explain to a committee or a board.

Questions we help answer

We clean and document your data, run the analysis that fits your design, and report it in the form your reviewers expect. You receive the syntax or code with the output, and a session to go through what the results mean.

  • Which test or model fits my design and my variables?
  • My data have missing values and outliers. What should I do with them?
  • My committee or a reviewer asked for a different analysis. Is the request justified?
  • How do I report and interpret these results correctly?

Scope of service

What you receive

  • Data cleaning, a missing-data assessment and a codebook
  • Descriptive and inferential statistics matched to the design
  • Regression, GLM and GEE, multilevel and survival models
  • Structural equation modelling, CFA and EFA, mediation and moderation
  • Tables and figures formatted to the required style
  • Annotated syntax or code in SPSS, R, Python, Stata or SmartPLS

What is not included

  • We do not alter, invent or selectively remove data to reach significance.
  • We do not keep running analyses until one gives the result someone hoped for.
  • We do not write your results chapter. We explain the results so that you can.

Methods and tools, and when we use them

  • Regression models

    When one outcome is explained by several predictors: linear, logistic, Poisson and other GLMs.

  • Multilevel models

    When observations are nested, such as students within schools or repeated measures within people.

  • Survival analysis

    When the outcome is the time until an event and some cases are censored.

  • Structural equation modelling

    When the model has latent constructs and several linked relationships (CB-SEM or PLS-SEM).

How the work runs

  1. 1

    Intake

    You describe the project through the request form or a call. No data are needed at this stage.

  2. 2

    Methodological scoping

    We review the design and agree the deliverables, exclusions, timeline and fee in writing.

  3. 3

    Execution

    The assigned consultant does the work and records methods, assumptions and changes.

  4. 4

    Quality assurance

    A second specialist reviews the methods and outputs before release.

  5. 5

    Handover

    You receive the deliverables, the code and a walkthrough session, with the agreed revision rounds.

Who this is for

  • Postgraduate students analysing thesis data
  • Faculty preparing a manuscript
  • Medical and health researchers
  • Research teams answering reviewer comments

Questions about this service

Which software do you use?

SPSS, R, Python, Stata and SmartPLS. We agree the software with you at the start, usually the one your institution or journal expects.

Do I get the code?

Yes. Every analysis is delivered with its syntax or script and a short note on the decisions made.

Can you analyse data I have already collected?

Yes. We first review how the data were collected and what they can support, then propose an analysis plan.

How should I send my data?

Not through this website. Once the scope is agreed we set up a suitable transfer route and explain how to remove direct identifiers first.

Other services

Request a scoped quotation

Describe the project in a few minutes. Complex research is quoted after scoping, never from a price list.